Tecce, N.; Cennamo, G.; Rinaldi, M.; Costagliola, C.; Colao, A. Exploring the Impact of Glycemic Control on Diabetic Retinopathy: Emerging Models and Prognostic Implications. J. Clin. Med.2024, 13, 831.
Tecce, N.; Cennamo, G.; Rinaldi, M.; Costagliola, C.; Colao, A. Exploring the Impact of Glycemic Control on Diabetic Retinopathy: Emerging Models and Prognostic Implications. J. Clin. Med. 2024, 13, 831.
Tecce, N.; Cennamo, G.; Rinaldi, M.; Costagliola, C.; Colao, A. Exploring the Impact of Glycemic Control on Diabetic Retinopathy: Emerging Models and Prognostic Implications. J. Clin. Med.2024, 13, 831.
Tecce, N.; Cennamo, G.; Rinaldi, M.; Costagliola, C.; Colao, A. Exploring the Impact of Glycemic Control on Diabetic Retinopathy: Emerging Models and Prognostic Implications. J. Clin. Med. 2024, 13, 831.
Abstract
Abstract: This review addresses the complexities of type 1 diabetes (T1D)and its associated complications, with a par-ticular focus on diabetic retinopathy (DR). This review outlines the progression from non-proliferative to proliferative diabetic retinopathy and diabetic macular edema, highlighting the role of dysglycemia in the pathogenesis of these conditions. A significant portion of the review is devoted to technological advances in diabetes management, particu-larly the use of Hybrid Closed Loop systems (HCLS) and to the potential of open-source HCLS systems, which could be easily adapted to different patiens’needs using big data analytics and machine learning. Personalized HCLS algorithms that integrate factors such as patient lifestyle, dietary habits, and hormonal variations are highlighted as critical to reducing the incidence of diabetes-related complications and improving patient outcomes.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
